Before proceeding with this document, please review the installation types documentation to understand the difference between air-gapped and connected installations.
Control-plane and clusters¶
As part of the installation process you will install:
- A control-plane managing cluster
- One or more clusters
Both the control plane and clusters require Kubernetes. Typically the control plane and first cluster are installed on the same Kubernetes cluster but this is not a must.
In OpenShift environments, adding a cluster connecting to a remote control plane currently requires the assistance of customer support.
See Cluster prerequisites hardware requirements.
You should receive a file:
runai-gcr-secret.yaml from Run:ai Customer Support. The file provides access to the Run:ai Container registry.
You should receive a single file
runai-<version>.tar from Run:ai customer support
Run:ai Software Prerequisites¶
OpenShift has specific operating system requirements that can be found in the RedHat documentation.
Run:ai supports OpenShift. OpenShift Versions supported are detailed here.
- OpenShift must be configured with a trusted certificate. Run:ai installation relies on OpenShift to create certificates for subdomains.
- OpenShift must have a configured identity provider (Idp).
See Run:ai Cluster prerequisites installing NVIDIA dependencies in OpenShift.
The Run:ai control plane, when installed without a Run:ai cluster, does not require the NVIDIA prerequisites.
Information on how to download the GPU Operator for air-gapped installation can be found in the NVIDIA GPU Operator pre-requisites.
(Optional) Inference Prerequisites¶
See Run:ai Cluster prerequisites Inference requirements.
The Run:ai control plane, when installed without a Run:ai cluster, does not require the Inference prerequisites.
The machine running the installation script (typically the Kubernetes master) must have:
- At least 50GB of free space.
- Docker installed.
- (Airgapped installation only) Private Docker Registry. Run:ai assumes the existence of a Docker registry for images. Most likely installed within the organization. The installation requires the network address and port for the registry (referenced below as
Once you believe that the Run:ai prerequisites are met, we highly recommend installing and running the Run:ai pre-install diagnostics script. The tool:
- Tests the below requirements as well as additional failure points related to Kubernetes, NVIDIA, storage, and networking.
- Looks at additional components installed and analyzes their relevancy to a successful Run:ai installation.
To use the script download the latest version of the script and run:
If the script fails, or if the script succeeds but the Kubernetes system contains components other than Run:ai, locate the file
runai-preinstall-diagnostics.txt in the current directory and send it to Run:ai technical support.
For more information on the script including additional command-line flags, see here.